docstr: Dataframe from non-contiguous array with heterogeneous types
docstr_tok: ["Dataframe","from","non-contiguous","array","with","heterogeneous","types"]
code: def test_not_contiguous_heterogeneous_1(self):
      """
      Dataframe from non-contiguous array with heterogeneous types
      """
      X = np.random.randn(13024 * 3, 16)
      df = pd.DataFrame(X[1::3, :])
      df = df.astype(
          {df.columns[1]: "float32", df.columns[6]: "float32"}
      )
      self.verify_on_dbscan(df)
  
file_path: scikit-learn-intelex/tests/test_df_support.py
imports: import unittest
  import numpy
  import pandas
  import daal4py
label_desc: Use image node_id 9 for calling the Test obj's underlying member method code with example usage: obj.test_not_contiguous_heterogeneous_1() without return types